This paper considers a difficult of dynamic match inner-tool election and distribution of operation with part and tool movement policies in a flexible manufacturing system (FMS) environment. For this design, a novel 0-1 Non linear integer programming multi objective model is demonstrated in such a way that each tool and each part can move during the production phase. It is assumed that there are sets of tools and machines that can manufacture different kinds of orders (or part types). Therefore, in this study, we make use of one of the various objective decision-making methods, a global criterion approach, to improve a multi-objective model for find a solution FMS scheduling problems with payment of two performance measures, namely minimum machining cost, set up cost as first objective and minimum machining time, tools and parts transportation time and machines average idle time as second objective, at the same time. SMOSA algorithm   approach is applied to optimize the model and the outcomes of the computational experiments are reported.